Leading Analytics in Organisations: An Executive Introduction

Learn how to a plan for and lead an analytics programme that will transform your organisation into one that effectively embraces data-driven decision making.

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      There are many factors driving organisations to implement an analytics and data science programme. The push factors of increasing demands for greater returns from stakeholders in the form of expanded markets or greater efficiency are combined with the pull factors of a significant increase in low-cost computing power and the ever-growing amounts of meaningful data generated by digitisation initiatives.

      While many organisations claim that analytics is a top strategic priority, many of these same organisations have either failed to start an analytics programme or have started and reached what McKinsey & Company calls the “started but stuck” phase, that is they have invested heavily in analytics infrastructure and technical people but are yet to achieve meaningful business results.

      This one-day course provides practical knowledge, grounded in high-quality academic research and industry best practice, will empower the executive and management team of any organisations to jump-start an analytics programme capable of providing positive financial returns and sustainable growth.


      This course is technology independent. The focus is on understanding the business context of analytics and learning how to apply the key concepts and principles of analytics to the business environment.

      Key Topics

      • Analytics and the Business Landscape
      • Types of Analytics
      • The Analytics and Data Science Process
      • Analytics Technology – The What and Why
      • Analytics in Business Functions
      • Analytics Success Factors
      • How to Staff and Structure an Analytics Team
      • How to Build an Analytics Culture
      • Governance, Compliance and Ethics of Analytics
      • Analytics Strategy Development and Execution

      Learning Objectives

      When the participant completes this course they will:

      • Know how analytics can help their business unlock the value in their data to achieve sustainable competitive advantage and drive innovation
      • Understand the key principles and concepts of analytics
      • Understand the proven success factors for analytics
      • Understand how to build an analytics culture within their organisation
      • Know what is required to plan and execute a successful organisation-wide, business-driven analytics program
      • Know how to assemble an effective analytics team that can drive analytics throughout the organisation

      Topic Outline

      Introduction to Analytics

      • Analytics and the Business Landscape
        • What is analytics?
        • Why analytics now?
        • What are the push and pull factors?
        • How analytics can create a sustainable competitive advantage
        • Why data as a strategic asset
        • How analytics improves business decision making
      • Types of Analytics
        • Descriptive
        • Explanatory
        • Discovery
        • Predictive
        • Prescriptive
        • Which Type is Best?
      • The Analytics and Data Science Process
        • Why use this process
        • The steps in the process
        • Which steps are simple?
        • Which steps are challenging?
      • Analytics Technology – The What and Why
        • What is Artificial Intelligence (AI) and Machine Learning (ML)
        • What is Data Lake, Data Warehouse and Data Mart
        • What is Data Engineering, Data Science and Data Analytics?
        • What is Data Visualisation and Data Storytelling?
        • What is Python and R?
      • Analytics in Business Functions
        • Finance
        • Marketing and Sales
        • Operations
        • Risk Management
        • Human Resources
        • Strategy

      Planning for Analytics Success

      • Analytics Success Factors
        • 10 factors from academic research and industry experience that lead to analytics success
      • How to Staff and Structure an Analytics Team
        • What type of people are required in the analytics team
        • How should your analytics team be structured?
      • How to Build an Analytics Culture
        • The importance of executive sponsorship and leadership
        • How to build a commitment to analytics?
        • What skills do you people need?
      • Governance, Compliance and Ethics of Analytics
        • Why internal governance and security matters in analytics
        • How to ensure your analytics programme meets compliance requirements
        • Why privacy and ethics matter in analytics
      • Analytics Strategy Development and Execution
        • How to create a roadmap for analytics success
        • How to execute an analytics strategy

      Target Audience

      This workshop is intended for executives and managers interested in building an effective analytics capability to obtain competitive advantage and drive change across their organisation.

      The type of roles who would benefit from attending this workshop are:

      • C-level executives
      • Senior managers in finance, marketing and sales, operations, risk management, human resources or strategy
      • Functional leaders in all areas of the business who would benefit from a better understanding of how to effectively use analytics and data science